Integrating multimodal data and machine learning for entrepreneurship research
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley +1 more source
Resource redeployment as an entry advantage in resource‐poor settings
Abstract Research Summary Scarcity of productive factors poses a challenge for firms entering underdeveloped regions. We theorize that incumbent firms can overcome scarcity of skilled human capital in local labor markets by redeploying workers from existing units.
Jasmina Chauvin+2 more
wiley +1 more source
Mitigating side channel attacks on FPGA through deep learning and dynamic partial reconfiguration. [PDF]
Bommana SR+3 more
europepmc +1 more source
On the heels of giants: Internal network structure and the race to build on prior innovation
Abstract Research Summary Strategy research has long been concerned with how firms build on the technological knowledge they create, and has focused on legal enforcement, complementary assets, and location decisions. Less attention has been paid to how internal firm structures support the appropriation of future cumulative innovations: what has been ...
Nicholas Argyres+2 more
wiley +1 more source
Method for modelling the number of HIV and AIDS cases using least square spline Biresponse nonparametric negative binomial regression. [PDF]
Ramadan A+4 more
europepmc +1 more source
Enhancing the Chemical Reactivity of Graphene through Substrate Engineering
This review highlights methods to enhance the reactivity of graphene through substrate engineering, focusing on strain and charge doping. Strains induced by nanoparticles, metal crystal orientations, or stretchable polymers increase the reactivity of graphene.
Jia Tu, Mingdi Yan
wiley +1 more source
Implementation of Multi-Criteria Decision-Making for Selecting Most Effective Genome Sequencing Technology. [PDF]
Arikan A, Uzun B, Sayan M.
europepmc +1 more source
Design Principles of Nanosensors for Multiplex Detection of Contaminants in Food
This review discusses recent advancements in nanoparticle‐based nanosensors for multiplex detection of food contaminants, focusing on toxins and pathogens. It highlights the design principles, sensitivity, and selectivity of these sensors, offering insights into their practical applications for food safety monitoring and inspiring future innovations ...
Yang Zhang+10 more
wiley +1 more source